Advances in Technology Innovation 2021-05-05T07:59:19+00:00 Wen-Hsiang Hsieh Open Journal Systems <p style="margin: 0cm 0cm 0pt;"><strong><em>Advances in Technology Innovation</em></strong> (AITI), ISSN 2518-2994 (Online), ISSN 2415-0436 (Print), is an international, multidiscipline, peer-reviewed scholarly journal. The official abbreviated title is <em><strong>Adv. technol. innov.</strong></em> It is dedicated to provide a platform for fast communication between the newest research works on the innovations of Technology &amp; Engineering. A paper will be online shortly once it is accepted and typeset. Currently, there is no publication charge, including article processing and submission charges. AITI is an open access journal which means that all contents are freely available without charge to the user or his/her institution.</p> <p><span style="color: black; font-family: 'Noto Sans'; font-size: 10.5pt;">AITI is indexed by:</span></p> <p><span style="color: black; font-family: 'Noto Sans'; font-size: 10.5pt;"><img style="width: 136px; height: 26px;" src="" alt="" width="171" height="53">&nbsp; </span><img src="/public/site/images/ijeti/DOAJ4.png" alt=""> &nbsp;&nbsp; <img src="/public/site/images/ijeti/google5.png" alt=""> &nbsp; <img src="" alt="">&nbsp; <img src="/public/site/images/allen/ProQuest-41.png"> <img src="/public/site/images/ijeti/CAB_ABSTRACTS4.png" alt="">&nbsp;&nbsp;<img src="/public/site/images/ijeti/Resarch_Bible5.png" alt="">&nbsp;&nbsp;<img src="/public/site/images/ijeti/WorldCat5.png" alt="">&nbsp;&nbsp;<img src="/public/site/images/allen/academia-12.png"> &nbsp;<img src="/public/site/images/ijeti/TOCs5.jpg" alt=""> &nbsp; <img src="/public/site/images/allen/Publons-22.5_1.png"> &nbsp;&nbsp;<img src="/public/site/images/allen/crossref3.png" width="92" height="42"></p> <p style="margin: 0cm 0cm 0pt;"><span style="color: black; font-family: 'Noto Sans'; font-size: 10.5pt;">&nbsp;Under evaluation of SCI, EI(Compendex) , INSPEC, etc.</span></p> <p style="margin: 0cm 0cm 0pt;">&nbsp;</p> Driving Assistance System with Lane Change Detection 2021-05-05T07:59:19+00:00 Jia-Shing Sheu Chun-Kang Tsai Po-Tong Wang <p>In this study, a simple technology for a self-driving system called “driver assistance system” is developed based on embedded image identification. The system consists of a camera, a Raspberry Pi board, and OpenCV. The camera is used to capture lane images, and the image noise is overcome through color space conversion, grayscale, Otsu thresholding, binarization, erosion, and dilation. Subsequently, two horizontal lines parallel to the <em>X</em>-axis with a fixed range and interval are used to detect left and right lane lines. The intersection points between the left and right lane lines and the two horizontal lines can be obtained, and can be used to calculate the slopes of the left and right lanes. Finally, the slope change of the left and right lanes and the offset of the lane intersection are determined to detect the deviation. When the angle of lanes changes drastically, the driver receives a deviation warning. The results of this study suggest that the proposed algorithm is 1.96 times faster than the conventional algorithm.</p> 2021-05-05T07:59:14+00:00 Copyright (c) 2021 Jia-Shing Sheu, Chun-Kang Tsai, Po-Tong Wang Dockless Shared Bicycle Flow Control by Using Kernel Density Estimation Based Clustering 2021-04-13T00:44:13+00:00 Shang-Yuan Chen Tzu-Tien Chen <p>Since dockless sharing bicycles have become an indispensable means of everyday life for urban residents, how to effectively control the supply and demand balance of bikes has become an important issue. This study aims to apply Kernel Density Estimation based (KDE-based) clustering analysis and a threshold-based reverse flow incentive mechanism to encourage the users of bicycles to adjust the supply and demand actively. And it takes Shanghai Jing’an Temple and its surroundings as the research area. Its practical steps include: (1) compilation and processing of the needed data, (2) application of KDE-based clustering, partitioning, and grading, and (3) incentives calculation based on dockless shared bicycle flow control system. The study finds that the generalization function of KDE-based clustering can be used to estimate the density value at any point in the study area to support the calculation of the incentive mechanism for bicycle reverse flow.</p> 2021-04-12T02:50:57+00:00 Copyright (c) 2021 Shang-Yuan Chen, Tzu-Tien Chen Design and Implementation of Adaptive PID and Adaptive Fuzzy Controllers for a Level Process Station 2021-03-29T06:22:55+00:00 Aparna Venkataraman <p>This proposed work proposes the design and real-time implementation of an adaptive fuzzy logic controller (FLC) and a proportional-integral-derivative (PID) controller for adaptive gain scheduling that can be configured for any complex industrial nonlinear application. Initially, the open-loop test of the single-input single-output (SISO) system, with nonlinearities and disturbances, is conducted to represent the mathematical model of the process around a set of equilibrium points. The adaptive controllers are then developed and deployed by using the national instruments reconfigurable input/output data acquisition device (NI RIO), NI myRIO-1900, and the control parameters are adapted in real-time corresponding to the changes in the process variable. The resulting servo and regulatory performance of the controllers are compared in MATLAB® software. The adaptive fuzzy controller is deduced to be the better controller as it can generate the desired output with quicker settling times, fewer oscillations, and negligible overshoot.</p> 2021-04-01T00:00:00+00:00 Copyright (c) 2021 Aparna Venkataraman Development of a Small Intelligent Weather Station for Agricultural Applications 2021-03-29T06:22:54+00:00 Yi-Hua Chung Jun-Fu Huang Yuan-Chen Hu Chen-Kang Huang <p>It is known that climate change causes a decrease in the profit gained from agricultural production. This work designs and establishes weather boxes equipped with functions of rainfall prediction, frosting forecast, and lightning detection. With the wireless connection and the build-in decision mode, weather boxes can deliver early-warning by sending texting messages to the users and actuating the corresponding action to response the extreme climate. To implement rainfall and frosting prognostication, two different datasets are analyzed by the technology of data mining. One of the datasets is acquired from the Central Weather Bureau, and the other is from the proposed weather box monitoring the agricultural environment. From the experimental results, the prediction model constructed from the data which is collected by the proposed weather box exhibits a higher accuracy in rainfall forecasting than those based on the Central Weather Bureau.</p> 2021-04-01T00:00:00+00:00 Copyright (c) 2021 Yi-Hua Chung, Jun-Fu Huang, Yuan-Chen Hu, Chen-Kang Huang Innovative Strategy to Meet the Challenges of the Future Digital Society 2021-03-29T06:22:54+00:00 Olivier Bonnaud <p>Today, we are experiencing a societal revolution with the development of digital technologies, and it brings new challenges. Indeed, the number of connected objects, intelligent sensors and IoTs are increasing exponentially. The same goes for the resulting energy consumption. Beyond 2030, without a radical transformation of communication technologies and protocols, the digital world will be at an energy dead end. All these objects are physically realized with microelectronic devices and systems. This analysis of the microelectronics community has led the French government to recognize an electronics sector that is becoming a priority area of industrial policy. The Strategic Committee of this sector has proposed innovations applied to the entire digital chain including all facets of the microelectronics field and human skills and know-how. The technological and energy issues are thus presented, and the proposed solutions were addressed. They concern both technological and human aspects. This paper ends by giving examples of the implementation of innovative approaches which essentially include the electronic functions involved in connected objects and which are intended to bring the know-how of future actors in the field.</p> 2021-04-01T00:00:00+00:00 Copyright (c) 2021 Olivier Bonnaud Influence of Cold Sensation on Plantar Tactile Sensation for Young Females 2021-03-29T06:22:54+00:00 Tianyi Wang Shima Okada Masaaki Makikawa Masayuki Endo Yuko Ohno <p>Cold sensation (CS) is a cold feeling on people’s hands or feet; this is a well-known health problem for young females. Plantar tactile sensation plays an important role in postural control and is affected by skin temperature. However, there is no research focusing on the relation between CS and plantar tactile sensation. In this study, we address the question of whether the CS influences plantar tactile sensation. 32 non cold sensation (Non-CS) and 31 cold sensation (CS) young females have participated in this research. A tactile sensation test was conducted at five plantar points (first and fifth toes, first and fifth metatarsal heads, and heel). Experimental results showed that although there was no significant difference at the first and fifth toes as well as the first metatarsal head and heel, the sensation threshold at the fifth metatarsal head for CS was lower than the Non-CS (21.61 ± 8.10 μm, 27.42 ± 11.02 μm respectively, p &lt; 0.05). &nbsp;It was concluded that plantar tactile sensation for young females with cold sensation was more sensitive compared to healthy subjects.</p> 2021-04-01T00:00:00+00:00 Copyright (c) 2021 Tianyi Wang, Shima Okada, Masaaki Makikawa, Masayuki Endo, Yuko Ohno